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Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter: Using Machine Learning and Web Forensics to Combat Digital Opioid Access

BACKGROUND: On December 6 and 7, 2017, the US Department of Health and Human Services (HHS) hosted its first Code-a-Thon event aimed at leveraging technology and data-driven solutions to help combat the opioid epidemic. The authors—an interdisciplinary team from academia, the private sector, and the...

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Dettagli Bibliografici
Pubblicato in:J Med Internet Res
Autori principali: Mackey, Tim, Kalyanam, Janani, Klugman, Josh, Kuzmenko, Ella, Gupta, Rashmi
Natura: Artigo
Lingua:Inglês
Pubblicazione: JMIR Publications 2018
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC5948414/
https://ncbi.nlm.nih.gov/pubmed/29613851
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/10029
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